Eyeball Dev Set Size Depends on Classifier Error Rate
The lower the classifier's error rate, the larger the Eyeball dev set must be to contain enough errors for analysis. For a 5% error rate, getting about 100 misclassified examples requires an Eyeball dev set of about 2,000 examples.
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Eyeball Dev Set Size Depends on Classifier Error Rate
What is the primary goal of ensuring the Eyeball dev set is large enough?
The rough size guidelines for the Eyeball dev set in ML Yearning apply specifically to tasks that humans do well.
The Eyeball dev set should be large enough to give a sense of the algorithm's major _____ categories.
Match each Eyeball dev set misclassified-example count to its described level of insight.
Order the steps for using an Eyeball dev set to surface major error categories.
Which example task does Andrew Ng cite when introducing rough Eyeball dev set size guidelines?
A very small Eyeball dev set can reliably reveal all of an algorithm's major error categories.
Andrew Ng's rough Eyeball dev set size guidelines apply when _____ perform the task well.
Match each Eyeball dev set concept to its correct definition in ML Yearning.
Order the reasoning steps for deciding whether an Eyeball dev set is large enough.
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With a 5% classifier error rate, approximately how large must the Eyeball dev set be to obtain ~100 misclassified examples?
A lower classifier error rate means the Eyeball dev set can be smaller to gather enough errors for analysis.
With a 5% error rate, an Eyeball dev set of _____ examples yields approximately 100 misclassified examples.
Match each Eyeball dev set concept to its correct description.
Order the steps for determining the required Eyeball dev set size given a classifier's error rate.
Why does a lower classifier error rate require a larger Eyeball dev set?
A classifier with a 10% error rate needs an Eyeball dev set of 2,000 examples to obtain ~100 misclassified examples.
The _____ the classifier error rate, the larger the Eyeball dev set must be to accumulate enough misclassified examples.
Match each classifier error rate to the approximate Eyeball dev set size needed for ~100 misclassified examples.
Order the reasoning steps that explain why a lower error rate requires a larger Eyeball dev set.